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BACKGROUND: Magnetic resonance imaging (MRI) has become important in the diagnostic work-up of neurodegenerative diseases. icobrain dm, a CE-labeled and FDA-cleared automated brain volumetry software, has shown potential in differentiating cognitively healthy controls (HC) from Alzheimer's disease (AD) dementia (ADD) patients in selected research cohorts. OBJECTIVE: This study examines the diagnostic value of icobrain dm for AD in routine clinical practice, including a comparison to the widely used FreeSurfer software, and investigates if combined brain volumes contribute to establish an AD diagnosis. METHODS: The study population included HC (n = 90), subjective cognitive decline (SCD, n = 93), mild cognitive impairment (MCI, n = 357), and ADD (n = 280) patients. Through automated volumetric analyses of global, cortical, and subcortical brain structures on clinical brain MRI T1w (n = 820) images from a retrospective, multi-center study (REMEMBER), icobrain dm's (v.4.4.0) ability to differentiate disease stages via ROC analysis was compared to FreeSurfer (v.6.0). Stepwise backward regression models were constructed to investigate if combined brain volumes can differentiate between AD stages. RESULTS: icobrain dm outperformed FreeSurfer in processing time (15-30 min versus 9-32 h), robustness (0 versus 67 failures), and diagnostic performance for whole brain, hippocampal volumes, and lateral ventricles between HC and ADD patients. Stepwise backward regression showed improved diagnostic accuracy for pairwise group differentiations, with highest performance obtained for distinguishing HC from ADD (AUC = 0.914; Specificity 83.0%; Sensitivity 86.3%). CONCLUSION: Automated volumetry has a diagnostic value for ADD diagnosis in routine clinical practice. Our findings indicate that combined brain volumes improve diagnostic accuracy, using real-world imaging data from a clinical setting. ispartof: JOURNAL OF ALZHEIMERS DISEASE vol:83 issue:2 pages:623-639 ispartof: location:Netherlands status: published

Case report : A 30-year-old woman with a history of bilateral sensorineural deafness since the age of 14 years, a right occipital ischemic stroke with left hemianopia and epilepsy was admitted to the neurology department with speech disorders and a new epileptic insult. MRI revealed extensive cytotoxic edema of the left temporo–parieto–occipital cortex and mirrored right-sided sequelae (Fig. 1a, b). MR-angiography and MR-venography (not shown) were normal. [...]

Cerebrospinal fluid (CSF) biomarkers are increasingly used to diagnose Alzheimer’s disease (AD). However, important methodological and technical remain regarding measurement variability between kit providers and users. We compared the Lumipulse fully automated assays with the manual INNOTEST assays (both from Fujirebio Europe NV, Gent, Belgium) on a clinically representative sample of patients and controls. CSF samples of 156 patients were used to quantify Amyloid Aβ1–42 peptide (Aβ1–42) and Total-Tau (T-Tau) protein by chemiluminescent enzyme-immunoassay (Lumipulse). Patients were divided into several subgroups: Alzheimer (AD = 44), mild-cognitive impairment (MCI = 23), other dementias (OD = 36), non-dementing neurological conditions (ND = 11), and controls (CTRL = 42). Clinical cut-offs were determined by comparing AD and CTRL with ROC curves for the two markers and their related ratio (T-Tau/Aβ1–42). Subgroups of 58 (for phosphorylated-Tau) and 115 samples (for Aβ1–42 and T-Tau) were used to evaluate the concordance of this analyzer with the INNOTEST assays. Lumipulse and INNOTEST assays showed good concordance for all markers, but systematic bias was observed justifying the need to redefine new clinical cut-offs. To discriminate AD from CTRL subjects, T-Tau/Aβ1–42 ratio was the best biomarker, with a cut-off value of 1.12 (sensitivity 81.8% and specificity 92.9%). Similar clinical performances were observed for the Lumipulse and Innotests assays on the subsample of 115 subjects. Our results demonstrate that the Lumipulse Aβ1–42 and T-Tau assays show good analytical and clinical performances in the context of patient evaluation referred to a memory clinic. Automated analyzers should be preferred for the measurement of CSF AD biomarkers to reduce inter- and intra-laboratory variability.

Objective: Alzheimer's disease (AD) begins with subtle memory decline, years before dementia onset. The presence of subjective memory complaints (SMC) has been proposed as a marker of preclinical AD. However, recent evidence has demonstrated early and progressive loss of awareness of memory difficulties in non-demented older adults harboring AD pathology. We investigated the respective contributions of SMC and spouse-appraised memory functioning (SAM) to predict memory decline in a large cohort of community dwelling older adults.Methods: The Wisconsin Longitudinal Study collected cognitive data from a community-based cohort of 3,583 participants in both 2005 and 2011. The participant and the participant's spouse were each asked to rate the participant's memory functioning using a Likert scale. We predicted change in objective episodic memory with models including baseline SMC, baseline SAM, or both SMC and SAM. We also evaluated an awareness index (SMC minus SAM). We then tested the interaction between Apolipoprotein E (APOE ε4) carrier status and SMC/SAM to evaluate whether the effects were driven by individuals at-risk for AD pathology.Results: In separate models, SMC (−0.081 ± 0.036, p = 0.025) and SAM (−0.084 ± 0.278, p = 0.003) were both associated with memory decline over ~6 years. However, the AI was not significantly associated with memory decline (0.031 ± 0.024, p = 0.19). When both predictors were included in the same model, SAM (−0.074 ± 0.03, p = 0.0092) was associated with memory decline, while SMC was not significant (−0.061 ± 0.04, p = 0.99). The association between SAM and memory decline was stronger in the APOE ε4 carriers than in the non-carriers (APOE-by-SAM interaction: F = 6.07; p = 0.002), and follow up analyses revealed that SAM was particularly predictive of decline only for APOE ε4 carriers. The association between SMC and memory decline was independent of APOE ε4 carrier status (APOE-by-SMC interaction: F = 2.29; p = 0.13).Conclusions: Spouse-appraised memory functioning was more predictive of memory decline than SMC or an awareness index, particularly in APOE ε4 carriers, who are at increased risk for AD pathology.

Background Evidence of immune-mediated neurological syndromes associated with the severe acute respiratory syndrome coronavirus (SARS-CoV-2) infection is limited. We therefore investigated clinical, serological and CSF features of coronavirus disease 2019 (COVID-19) patients with neurological manifestations. Methods Consecutive COVID-19 patients with neurological manifestations other than isolated anosmia and/or non-severe headache, and with no previous neurological or psychiatric disorders were prospectively included. Neurological examination was performed in all patients and lumbar puncture with CSF examination was performed when not contraindicated. Serum anti-gangliosides antibodies were tested when clinically indicated. Results Of the 349 COVID-19 admitted to our center between March 23rd and April 24th 2020, 15 patients (4.3%) had neurological manifestations and fulfilled the study inclusion/exclusion criteria. CSF examination was available in 13 patients and showed lymphocytic pleocytosis in 2 patients: 1 with anti-contactin-associated protein 2 (anti-Caspr2) antibody encephalitis and 1 with meningo-polyradiculitis. Increased serum titer of anti-GD1b antibodies was found in three patients and was associated with variable clinical presentations, including cranial neuropathy with meningo-polyradiculitis, brainstem encephalitis and delirium. CSF PCR for SARS-CoV-2 was negative in all patients. Conclusions In SARS-Cov-2 infected patients with neurological manifestations, CSF pleocytosis is associated with para- or post-infectious encephalitis and polyradiculitis. Anti-GD1b and anti-Caspr2 autoantibodies can be identified in certain cases, raising the question of SARS-CoV-2-induced secondary autoimmunity.

Purpose To evaluate cerebral amyloid-β(Aβ) pathology in older adults with cognitive complaints, visual assessment of PET images is approved as the routine method for image interpretation. In research studies however, Aβ-PET semi-quantitative measures are associated with greater risk of progression to dementia; but until recently, these measures lacked standardization. Therefore, the Centiloid scale, providing standardized Aβ-PET semi-quantitation, was recently validated. We aimed to determine the predictive values of visual assessments and Centiloids in non-demented patients, using long-term progression to dementia as our standard of truth. Methods One hundred sixty non-demented participants (age, 54–86) were enrolled in a monocentric [18F] flutemetamol Aβ-PET study. Flutemetamol images were interpreted visually following the manufacturers recommendations. SUVr values were converted to the Centiloid scale using the GAAIN guidelines. Ninety-eight persons were followed until dementia diagnosis or were clinically stable for a median of 6 years (min = 4.0; max = 8.0). Twenty-five patients with short follow-up (median = 2.0 years; min = 0.8; max = 3.9) and 37 patients with no follow-up were excluded. We computed ROC curves predicting subsequent dementia using baseline PET data and calculated negative (NPV) and positive (PPV) predictive values. Results In the 98 participants with long follow-up, Centiloid = 26 provided the highest overall predictive value = 87% (NPV = 85%, PPV = 88%). Visual assessment corresponded to Centiloid = 40, which predicted dementia with an overall predictive value = 86% (NPV = 81%, PPV = 92%). Inclusion of the 25 patients who only had a 2-year follow-up decreased the PPV = 67% (NPV = 88%), reflecting the many positive cases that did not progress to dementia after short follow-ups. Conclusion A Centiloid threshold = 26 optimally predicts progression to dementia 6 years after PET. Visual assessment provides similar predictive value, with higher specificity and lower sensitivity. Trial registration Eudra-CT number: 2011-001756-12

Background Patients with mild cognitive impairment (MCI) are at-risk of progression to Alzheimer’s dementia (AD), particularly if they have elevated amyloid (Aβ), the hallmark pathology of AD. However, a proportion of Aβ-negative MCI also progress to dementia in clinical practice. We sought to investigate (1) whether subthreshold Aβ load, brain metabolism, or atrophy could predict progression to dementia in patients with Aβ-negative MCI, and (2) whether the regional pattern was distinct from patients with Aβ-positive MCI. Method Seventy-nine older adults underwent [18F]-FDG-PET to estimate their brain metabolism, [18F]-Flutemetamol-PET to assess their Aβ load, and 3D-T1 MRI. Aβ load was expressed in Centiloids and a threshold of 43 corresponding to visual assessment was used to define Aβ positivity. FDG data were expressed as Standardized Uptake Value ratios (SUVr) scaled on pons with partial volume correction. MRI-PET co-registration was performed with PetSurfer. Eight Aβ-negative MCI progressed to dementia after four years. We compared their FDG and thicknesses maps to 25 Aβ-negative normal older adults, 31 Aβ-negative stable MCI, and 15 Aβ-positive MCI who also progressed to AD dementia after four years. Demographics and follow-up durations are provided in Table1. Result Subthreshold Aβ did not predict progression to dementia among Aβ-negative MCI (p=0.81). Vertex-wise analyses highlighted temporo-parietal hypometabolism in the Aβ-negative MCI who progressed to dementia, compared to stable Aβ-negative controls (Fig. 1), and to a lesser extent compared to stable Aβ-negative MCI patients (Fig. 2). However, their cerebral metabolism was similar to the one observed in Aβ-positive MCI (Fig.3). Finally, the regional pattern of cortical thinning in progressive Aβ-negative MCI was less typical of AD (Fig.4). Adjusting for age, sex, e4 status, or Aβ did not modify these observations. Conclusion Temporoparietal FDG predicts subsequent dementia in Aβ-negative MCI patients, suggesting a close association with clinical progression. The FDG regional pattern is however not specific of Aβ pathophysiology.

BACKGROUND : A number of biomarkers have shown utility for predicting cognitive decline and conversion from mild cognitive impairment (MCI) to dementia. However, few studies have investigated the effectiveness of biomarkers combinations and their individual contributions for predicting rate of memory decline. This study evaluated the utility of several imaging biomarkers for predicting annual rate of decline in memory performance, as indexed by the Buschke Free and Cued Selective Reminding Test (FCSRT) Free Recall (FR), Cued Recall (CR), and Delayed Recall (DR). METHOD : At baseline, 153 individuals (31 controls, 87 persons with MCI, and 35 persons with subjective cognitive impairment (SCI)) underwent neuropsychological evaluation (including the FCSRT), fluorodeoxyglucose (FDG) positron emission tomography (PET), amyloid PET and MRI measurement of bilateral hippocampal volume (HV) and bilateral entorhinal cortical thickness (EC). Follow-up neuropsychological evaluations were performed after a mean of 2.05, 4.1, and 6.4 years. Individual intercepts and slopes (annualized rates of decline) for FCSRT indexes were computed for each participant using latent growth curve modeling. Bayesian linear regression identified the optimal models for predicting annual rate of change for each memory index. After adjusting for age, sex, and sociocultural level, baseline amyloid and FDG PET, bilateral HV, and bilateral EC were entered as predictors. Bayes Factors (BF10) grade the intensity of support in favor of the alternate hypothesis over the null hypothesis. RESULT : Using Bayesian ANOVA, all groups differed significantly in rate of decline for each of the three memory indexes (Figure 1). Amyloid PET, FDG PET, and EC were the best predictors of FR decline (BF10=3.26e+12, R2=0.45), Amyloid PET and EC were the best predictors of CR decline (BF10=3.31e+13, R2=0.39), and the combination of all four biomarkers was the best set of predictors of DR decline (BF10=1.95e+12, R2=0.43). CONCLUSION : Different combinations of baseline imaging biomarkers were highly sensitive to rate of decline in specific aspects of memory functioning. Amyloid PET and entorhinal cortex thickness were among the significant predictors for all three memory indexes, implicating their particular sensitivity to all FCSRT memory indexes. The predictive power of entorhinal cortex thickness may be due to early accumulation of tau in this region.

Prediction and time estimation are all but required for motor function in everyday life. In the context of eye movements, for instance, they allow predictive saccades and eye re-acceleration in anticipation of a target re-appearance. While the neural pathways involved are not fully understood, it is known that the frontal lobe plays an important role. As such, neurological disorders that affect it, such as frontotemporal (FTD) dementia, are likely to induce deficits in such movements. In this work, we study the performances of frontotemporal dementia patients in an oculomotor task designed to elicit predictive saccades at different rates, and compare them to young and older adults. Clear deficits in the production of predictive saccades were found in patients, in particular when the time between saccades was short (~500 ms). Furthermore, one asymptomatic C9ORF72 mutation bearer showed patterns of oculomotor behavior similar to FTD patients. He exhibited FTD symptoms within 3 years post-measure, suggesting that an impairment of oculomotor function could be an early clinical sign. Taken together, these results argue in favor of a role of the frontal lobe in predictive movements timing over short timescales, and suggest that predictive saccades in FTD patients warrant further investigation to fully assess their potential as a diagnostic aid.

Neurological involvement of sarcoidosis is a rare condition, and its occurrence in the context of transplantation is exceptional. Moreover, treatment can be challenging. We report the unusual case of a patient transplanted with a kidney for end-stage renal disease secondary to sarcoidosis who experienced a neurological recurrence of the disease under immunosuppressive treatment, translating in behavioural aggressiveness, social withdrawal and weight loss. He relapsed thrice under corticosteroids but responded finally to infliximab. This case highlights the potential of sarcoidosis to recur neurologically after kidney transplantation despite immunosuppressive treatment. Also, treatment of relapsing neurosarcoidosis can be challenging and may benefit from TNF-α blockers.

Alzheimers disease (AD) is a highly prevalent condition and its prevalence is expected to further increase due to the aging of the general population. It is obvious that the diagnosis of AD has implications for driving. Finally, driving discussions are also emotionally charged because driving is associated with independence and personal identity. However, it is not clear how to implement this in clinical practice and the Belgian law on driving is rather vague in its referral to neurodegenerative brain diseases in general nor does it provide clear-cut instructions for dementia or AD compared to for example driving for patients with epilepsy and as such does not prove to be very helpful. The present article reviews what is known from both literature and existing guidelines and proposes a consensus recommendation tailored to the Belgian situation agreed by both AD experts and the Belgian Road Safety Institute endorsed by the Belgian Medical Association. It is concluded that the decision about driving fitness should be considered as a dynamic process where the driving fitness is assessed and discussed early after diagnosis and closely monitored by the treating physician. The diagnosis of AD on itself definitely does not imply the immediate and full revocation of a driving license nor does it implicate a necessary referral for a formal on-road driving assessment. There is no evidence to recommend a reduced exposure or a mandatory co-pilot. A MMSE-based framework to trichotomise AD patients as safe, indeterminate or unsafe is presented. The final decision on driving fitness can only be made after careful history taking and clinical examination, neuropsychological, functional and behavioral evaluation and, only for selected cases, a formal assessment of driving performance.

Key PointsQuestionIs cognitive decline associated with amyloid-beta or tau tangles accumulation? FindingsIn this cohort study that included 60 normal older adults with repeated positron emission tomography measures, the rate of tau accumulation in the inferior temporal neocortex was associated with the rate of cognitive decline. Amyloid accumulation was associated with subsequent tau accumulation, and this sequence of successive amyloid and tau changes in neocortex was found to mediate the association of initial amyloid with final cognition, measured 7 years later. MeaningAmyloid positron emission tomography is useful to detect early Alzheimer pathology; repeated tau positron emission tomography is useful to track disease progression.ImportancePositron emission tomography (PET) imaging now allows in vivo visualization of both neuropathologic hallmarks of Alzheimer disease (AD): amyloid-beta (A beta) plaques and tau neurofibrillary tangles. Observing their progressive accumulation in the brains of clinically normal older adults is critically important to understand the pathophysiologic cascade leading to AD and to inform the choice of outcome measures in prevention trials. ObjectiveTo assess the associations among A beta, tau, and cognition, measured during different observation periods for 7 years. Design, Setting, and ParticipantsProspective cohort study conducted between 2010 and 2017 at the Harvard Aging Brain Study, Boston, Massachusetts. The study enrolled 279 clinically normal participants. An additional 90 individuals were approached but declined the study or did not meet the inclusion criteria. In this report, we analyzed data from 60 participants who had multiple A beta and tau PET observations available on October 31, 2017. Main Outcomes and MeasuresA median of 3 Pittsburgh compound B-PET (A beta, 2010-2017) and 2 flortaucipir-PET (tau, 2013-2017) images were collected. We used initial PET and slope data, assessing the rates of change in A beta and tau, to measure cognitive changes. Cognition was evaluated annually using the Preclinical Alzheimer Cognitive Composite (2010-2017). Annual consensus meetings evaluated progression to mild cognitive impairment. ResultsOf the 60 participants, 35 were women (58%) and 25 were men (42%); median age at inclusion was 73 years (range, 65-85 years). Seventeen participants (28%) exhibited an initial high A beta burden. An antecedent rise in A beta was associated with subsequent changes in tau (1.07 flortaucipir standardized uptake value ratios [SUVr]/PiB-SUVr; 95% CI, 0.13-3.46; P=.02). Tau changes were associated with cognitive changes (-3.28 z scores/SUVR; 95% CI, -6.67 to -0.91; P=.001), covarying baseline A beta and tau. Tau changes were greater in the participants who progressed to mild cognitive impairment (n=6) than in those who did not (n=11; 0.05 SUVr per year; 95% CI, 0.03-0.07; P=.001). A serial mediation model demonstrated that the association between initial A beta and final cognition, measured 7 years later, was mediated by successive changes in A beta and tau. Conclusions and RelevanceWe identified sequential changes in normal older adults, from A beta to tau to cognition, after which the participants with high A beta with greater tau increase met clinical criteria for mild cognitive impairment. These findings highlight the importance of repeated tau-PET observations to track disease progression and the importance of repeated amyloid-PET observations to detect the earliest AD pathologic changes.This cohort study assesses the associations among amyloid-beta, tau, and cognition, measured during different observation periods for 7 years.

Objectives:Relatively few studies have investigated relationships between performance on clinical memory measures and indexes of underlying neuropathology related to Alzheimer’s disease (AD). This study investigated predictive relationships between Free and Cued Selective Reminding Test (FCSRT) cue efficiency (CE) and free-recall (FR) measures and brain amyloid levels, hippocampal volume (HV), and regional cortical thickness.Methods:Thirty-one older controls without memory complaints and 60 patients presenting memory complaints underwent the FCSRT, amyloid imaging using [F18]-flutemetamol positron emission tomography, and surface-based morphometry (SBM) using brain magnetic resonance imaging. Three groups were considered: patients with high (Aβ+P) and low (Aβ− P) amyloid load and controls with low amyloid load (Aβ− C).Results:Aβ+P showed lower CE than both Aβ− groups, but the Aβ− groups did not differ significantly. In contrast, FR discriminated all groups. SBM analyses revealed that CE indexes were correlated with the cortical thickness of a wider set of left-lateralized temporal and parietal regions than FR. Regression analyses demonstrated that amyloid load and left HV independently predicted FCSRT scores. Moreover, CE indexes were predicted by the cortical thickness of some regions involved in early AD, such as the entorhinal cortex.Conclusions:Compared to FR measures, CE indexes appear to be more specific for differentiating persons on the basis of amyloid load. Both CE and FR performance were predicted independently by brain amyloid load and reduced left HV. However, CE performance was also predicted by the cortical thickness of regions known to be atrophic early in AD. (JINS, 2016,22, 991–1004)

This study describes how the application of evolutionary algorithms (EAs) can be used to study motor function in humans with Parkinson’s disease (PD) and in animal models of PD. Human data is obtained using commercially available sensors via a range of non-invasive procedures that follow conventional clinical practice. EAs can then be used to classify human data for a range of uses, including diagnosis and disease monitoring. New results are presented that demonstrate how EAs can also be used to classify fruit flies with and without genetic mutations that cause Parkinson’s by using measurements of the proboscis extension reflex. The case is made for a computational approach that can be applied across human and animal studies of PD and lays the way for evaluation of existing and new drug therapies in a truly objective way.

Movement disorders following heart surgery are very unusual. Post-pump chorea is mainly a pediatric complication of heart surgery, typically manifesting after a latent period of normality and is usually related with long extracorporeal circulation time and deep hypothermia. We report a 73-year-old woman, without risk factors predisposing to paroxysmal movement disorders, presenting acute choreoathetoid movements 5 days after aortic valvular replacement with normal extracorporeal circulation time and perioperative normothermia.

We evaluated the genetic contribution of the T cell-restricted intracellular antigen-1 gene (TIA1) in a European cohort of frontotemporal dementia (FTD) and amyotrophic lateral sclerosis (ALS) patients. Exonic resequencing of TIA1 in 1120 patients (693 FTD, 341 ALS, 86 FTD-ALS) and 1039 controls identified in total 5 rare heterozygous missense variants, affecting the TIA1 low-complexity domain (LCD). Only 1 missense variant, p.Met290Thr, identified in a familial FTD patient with disease onset at 64 years, was absent from controls yet received a combined annotation-dependent depletion score of 11.42. By contrast, 3 of the 4 variants also detected in unaffected controls, p.Val294Glu, p.Gln318Arg, and p.Ala381Thr, had combined annotation-dependent depletion scores greater than 20. Our findings in a large European patient-control series indicate that variants in TIA1 are not a common cause of ALS and FTD. The observation of recurring TIA1 missense variants in unaffected individuals lead us to conclude that the exact genetic contribution of TIA1 to ALS and FTD pathogenesis remains to be further elucidated. ispartof: NEUROBIOLOGY OF AGING vol:69 ispartof: location:United States status: published

Introduction: Apolipoprotein E (APOE) epsilon 4 is the major genetic risk factor for Alzheimer's disease (AD), but its prevalence is unclear because earlier studies did not require biomarker evidence of amyloid beta(A beta) pathology. Methods: We included 3451 A beta+ subjects (853 AD-type dementia, 1810 mild cognitive impairment, and 788 cognitively normal). Generalized estimating equation models were used to assess APOE epsilon 4 prevalence in relation to age, sex, education, and geographical location. Results: The APOE epsilon 4 prevalence was 66% in AD-type dementia, 64% in mild cognitive impairment, and 51% in cognitively normal, and it decreased with advancing age in A beta+ cognitively normal and A beta+ mild cognitive impairment (P

The current inability of clinical criteria to accurately identify the “at-risk group” for Amyotrophic Lateral Sclerosis (ALS) development as well as its unknown etiology are fueling the interest in biomarkers aimed at completing clinical approaches for the diagnosis. The Glial cell line-derived neurotrophic factor (GDNF) is a diffusible peptide critically involved in neuronal differentiation and survival. GDNF is largely studied in various neurological and neuromuscular diseases, with a great interest in the peripheral nervous system (PNS). The recent discovery of Amyloid Precursor Protein (APP)-dependent GDNF regulation driving neuro-muscular junctions' formation in APP null transgenic mice, prompts to study whether neurodegeneration relies on loss or gain of APP function and suggests that it could affect peripheral processes. Here, we explored a brand-new aspect of the loss of trophic support in ALS by measuring GDNF, APP, soluble APP fragments and Aβ peptides levels in SOD1WT or SOD1G93A transgenic mouse models of ALS and in human biological fluids [i.e. serum and cerebrospinal fluid (CSF)] from ALS patients and control subjects. Our results show that both GDNF and soluble APP fragments levels are altered at the onset of motor deficits in mice and that their levels are also modified in patient samples. This study indicates that both GDNF and soluble APPα represent possible biomarkers for ALS.

Background: Magnetic resonance imaging (MRI) acquisition/processing techniques assess brain volumes to explore neurodegeneration in Alzheimers disease (AD). Objective: We examined the clinical utility of MSmetrix and investigated if automated MRI volumes could discriminate between groups covering the AD continuum and could be used as a predictor for clinical progression. Methods: The Belgian Dementia Council initiated a retrospective, multi-center study and analyzed whole brain (WB), grey matter (GM), white matter (WM), cerebrospinal fluid (CSF), cortical GM (CGM) volumes, and WM hyperintensities (WMH) using MSmetrix in the AD continuum. Baseline (n = 887) and follow-up (FU, n = 95) T1-weighted brain MRIs and time-linked neuropsychological data were available. Results: The cohort consisted of cognitively healthy controls (HC, n = 93), subjective cognitive decline (n = 102), mild cognitive impairment (MCI, n = 379), and AD dementia (n = 313). Baseline WB and GM volumes could accurately discriminate between clinical diagnostic groups and were significantly decreased with increasing cognitive impairment. MCI patients had a significantly larger change in WB, GM, and CGM volumes based on two MRIs (n = 95) compared to HC (FU>24months, p = 0.020). Linear regression models showed that baseline atrophy of WB, GM, CGM, and increased CSF volumes predicted cognitive impairment. Conclusion: WB and GM volumes extracted by MSmetrix could be used to define the clinical spectrum of AD accurately and along with CGM, they are able to predict cognitive impairment based on (decline in) MMSE scores. Therefore, MSmetrix can support clinicians in their diagnostic decisions, is able to detect clinical disease progression, and is of help to stratify populations for clinical trials.

Importance: Patients with amnestic mild cognitive impairment (aMCI) may progress to clinical Alzheimer disease (AD), remain stable, or revert to normal. Earlier progression to AD among patients who were β-amyloid positive vs those who were β-amyloid negative has been previously observed. Current research now accepts that a combination of biomarkers could provide greater refinement in the assessment of risk for clinical progression. Objective: To evaluate the ability of flutemetamol F 18 and other biomarkers to assess the risk of progression from aMCI to probable AD. Design, Setting, and Participants: In this multicenter cohort study, from November 11, 2009, to January 16, 2014, patients with aMCI underwent positron emission tomography (PET) at baseline followed by local clinical assessments every 6 months for up to 3 years. Patients with aMCI (365 screened; 232 were eligible) were recruited from 28 clinical centers in Europe and the United States. Physicians remained strictly blinded to the results of PET, and the standard of truth was an independent clinical adjudication committee that confirmed or refuted local assessments. Flutemetamol F 18-labeled PET scans were read centrally as either negative or positive by 5 blinded readers with no knowledge of clinical status. Statistical analysis was conducted from February 19, 2014, to January 26, 2018. Interventions: Flutemetamol F 18-labeled PET at baseline followed by up to 6 clinical visits every 6 months, as well as magnetic resonance imaging and multiple cognitive measures. Main Outcomes and Measures: Time from PET to probable AD or last follow-upwas plotted as a Kaplan-Meier survival curve; PET scan results, age, hippocampal volume, and aMCI stage were entered into Cox proportional hazards logistic regression analyses to identify variables associated with progression to probable AD. Results: Of 232 patients with aMCI (118 women and 114 men; mean [SD] age, 71.1 [8.6] years), 98 (42.2%) had positive results detected on PET scan. By 36 months, the rates of progression to probable AD were 36.2% overall (81 of 224 patients), 53.6%(52 of 97) for patients with positive results detected on PET scan, and 22.8% (29 of 127) for patients with negative results detected on PET scan. Hazard ratios for association with progression were 2.51 (95% CI, 1.57-3.99; P < .001) for a positive β-amyloid scan alone (primary outcome measure), 5.60 (95%CI, 3.14-9.98; P < .001) with additional low hippocampal volume, and 8.45 (95%CI, 4.40-16.24; P < .001) when poorer cognitive status was added to the model. Conclusions and Relevance: A combination of positive results of flutemetamol F 18-labeled PET, low hippocampal volume, and cognitive status corresponded with a high probability of risk of progression from aMCI to probable AD within 36 months. (Less)

Contains fulltext : 190311.pdf (Publisher’s version ) (Closed access) Importance: Cerebral amyloid-beta aggregation is an early event in Alzheimer disease (AD). Understanding the association between amyloid aggregation and cognitive manifestation in persons without dementia is important for a better understanding of the course of AD and for the design of prevention trials. Objective: To investigate whether amyloid-beta aggregation is associated with cognitive functioning in persons without dementia. Design, Setting, and Participants: This cross-sectional study included 2908 participants with normal cognition and 4133 with mild cognitive impairment (MCI) from 53 studies in the multicenter Amyloid Biomarker Study. Normal cognition was defined as having no cognitive concerns for which medical help was sought and scores within the normal range on cognitive tests. Mild cognitive impairment was diagnosed according to published criteria. Study inclusion began in 2013 and is ongoing. Data analysis was performed in January 2017. Main Outcomes and Measures: Global cognitive performance as assessed by the Mini-Mental State Examination (MMSE) and episodic memory performance as assessed by a verbal word learning test. Amyloid aggregation was measured with positron emission tomography or cerebrospinal fluid biomarkers and dichotomized as negative (normal) or positive (abnormal) according to study-specific cutoffs. Generalized estimating equations were used to examine the association between amyloid aggregation and low cognitive scores (MMSE score

We conducted a survey regarding the medical care of patients with dementia in expert settings in Belgium. Open, unrestricted and motivated answers were centralized, blindly interpreted and structured into categories. The report of the results was then submitted to the participants in subsequent plenary meetings and through email. Fourteen experts responded to the questionnaire, confirming that recent propositions to modify Alzheimers disease (AD) diagnostic criteria and options have stirred up debate among well-informed and dedicated experts in the field. The opinions were not unanimous and illustrate how difficult it is to find a standardized method of diagnosing this disease. The responses to the survey suggest that application of a step-by-step pragmatic method is used in practice. Only when the combination of clinical findings and classical structural neuro-imaging is insufficient for a diagnosis or suggests an atypical presentation, additional biomarkers are considered. Interestingly, few differences, if any, were observed between the use of biomarkers in MCI and in AD. In conclusion, the Belgian experts consulted in this survey were generally in agreement with the new diagnostic criteria for AD, although some concern was expressed about them being too amyloidocentric. Although the clinical examination, including a full neuropsychological evaluation, is still considered as the basis for diagnosis, most experts also stated that they use biomarkers to help with diagnosis.

The paper aims to analyse the wind turbine solutions implemented on ships. Also a thorough study of the blade design solutions for small power Vertical Axis Wind Turbines (VAWTs) has been conducted, with their advantages and disadvantages, such as in the end to be able to present the best solution for a new design that has as objective the minimisation of loads and vibrations. First are presented all the solutions, next are discussed several research results for each solution and, in the end, a combination of solutions is chosen for the new small power VAWT.

Background: New diagnostic criteria for predemential Alzheimer's disease (AD) advocate the use of biomarkers. However, the benefit of using biomarkers has not been clearly demonstrated in clinical practice. Objective: To investigate whether a combination of biomarkers may be helpful in classifying a population of non-demented patients attending a Memory Clinic. Methods: Sixty non-demented patients were compared with 31 healthy elderly subjects. All subjects underwent a neuropsychological examination, brain 3T magnetic resonance imaging, and [F18]-fluorodeoxyglucose and [F18]-flutemetamol positron emission tomography. According to their performance on memory, language, executive, and visuo-spatial domains, the patients were classified as mild cognitive impairment (amnestic, non-amnestic, single, or multiple domain) or subjective cognitive impairment. Patients were then classified according to the National Institute on Aging-Alzheimer's Association (NIA-AA) criteria, using the normalized mean hippocampal volume (Freesurfer), [F18]-FDG PALZAD, and [F18]-flutemetamol standard uptake value ratio (SUVr) (cut-off at the 10th percentile of controls). The standard of truth was the clinical status at study entry (patient versus control). Results: The sensitivity/specificity of the clinical classification was 65/84%. The NIA-AA criteria were applicable in 85% of patients and 87% of controls. For biomarkers the best sensitivity (72%) at a fixed specificity of 84% was achieved by a combination of the three biomarkers. The clinical diagnosis was reconsidered in more than one third of the patients (42%) as a result of including the biomarker results. Conclusions: Application of the new NIA-AA AD diagnostic criteria based on biomarkers in an unselected sample of non-demented patients attending a Memory Clinic was useful in allowing for a better classification of the subjects.

Mutation screening and phenotypic profiling of 2 amyotrophic lateral sclerosis-(ALS) and frontotemporal dementia-(FTD) associated genes, CHCHD10 and TUBA4A, were performed in a Belgian cohort of 459 FTD, 28 FTD-ALS, and 429 ALS patients. In CHCHD10, we identified a novel nonsense mutation (p.Gln108*) in a patient with atypical clinical FTD and pathology-confirmed Parkinson's disease (1/459, 0.22%) leading to loss of transcript. We further observed 3 previously described missense variants (p.Pro34Ser, p.Pro80Leu, and p.Pro96Thr) that were also present in the matched control series. In TUBA4A, we detected a novel frameshift mutation (p.Arg64Glyfs*90) leading to a truncated protein in 1 FTD patient (1/459 of 0.22%) with family history of Parkinson's disease and cognitive impairment, and a novel missense mutation (p.Thr381Met) in 2 sibs with familial ALS and memory problems (1 index patient/429, 0.23%) in whom we previously identified a pathogenic Chromosome 9 open reading frame 72 repeat expansion mutation. The present study confirms the role of CHCHD10 and TUBA4A in the FTD-ALS spectrum, although genetic variations in these 2 genes are extremely rare in the Belgian population and often associated with symptomatology of related neurodegenerative diseases including Parkinson's disease and Alzheimer's disease. publisher: Elsevier articletitle: Investigating the role of ALS genes CHCHD10 and TUBA4A in Belgian FTD-ALS spectrum patients journaltitle: Neurobiology of Aging articlelink: http://dx.doi.org/10.1016/j.neurobiolaging.2016.12.008 content_type: article copyright: © 2017 The Authors. Published by Elsevier Inc. ispartof: Neurobiology of Aging vol:51 pages:177- ispartof: location:United States status: published

(18)F-flutemetamol is a positron emission tomography (PET) tracer for in vivo amyloid imaging. The ability to classify amyloid scans in a binary manner as 'normal' versus 'Alzheimer-like', is of high clinical relevance. We evaluated whether a supervised machine learning technique, support vector machines (SVM), can replicate the assignments made by visual readers blind to the clinical diagnosis, which image components have highest diagnostic value according to SVM and how (18)F-flutemetamol-based classification using SVM relates to structural MRI-based classification using SVM within the same subjects. By means of SVM with a linear kernel, we analyzed (18)F-flutemetamol scans and volumetric MRI scans from 72 cases from the (18)F-flutemetamol phase 2 study (27 clinically probable Alzheimer's disease (AD), 20 amnestic mild cognitive impairment (MCI), 25 controls). In a leave-one-out approach, we trained the (18)F-flutemetamol based classifier by means of the visual reads and tested whether the classifier was able to reproduce the assignment based on visual reads and which voxels had the highest feature weights. The (18)F-flutemetamol based classifier was able to replicate the assignments obtained by visual reads with 100% accuracy. The voxels with highest feature weights were in the striatum, precuneus, cingulate and middle frontal gyrus. Second, to determine concordance between the gray matter volume- and the (18)F-flutemetamol-based classification, we trained the classifier with the clinical diagnosis as gold standard. Overall sensitivity of the (18)F-flutemetamol- and the gray matter volume-based classifiers were identical (85.2%), albeit with discordant classification in three cases. Specificity of the (18)F-flutemetamol based classifier was 92% compared to 68% for MRI. In the MCI group, the (18)F-flutemetamol based classifier distinguished more reliably between converters and non-converters than the gray matter-based classifier. The visual read-based binary classification of (18)F-flutemetamol scans can be replicated using SVM. In this sample the specificity of (18)F-flutemetamol based SVM for distinguishing AD from controls is higher than that of gray matter volume-based SVM. ispartof: NeuroImage vol:64 issue:1 pages:517-525 ispartof: location:United States status: published

Care plans are intended to improve the independence and functioning of patients with cognitive dysfunction and support the caregivers involved. They are an integral part of the Belgian reimbursement procedure for cholinesterase inhibitors. This nationwide, multicenter, observational study examined the content and implementation of the care plan along with patient satisfaction in community-dwelling patients newly diagnosed with Alzheimer disease in Belgium. The patients' opinion of their quality of life was measured using Anamnestic Comparative Self-Assessment (ACSA) scale. A total of 720 participants (453 female) were enrolled with 86.0% (619/719) living at home alone or with their spouse/partner. Cognitive problems (627/717, 87.4%) were the main reason for initiation of the consultation. Most patients had a caregiver (646/719, 89.8%): generally the spouse/partner (351/646, 54.3%) or a child (232/646, 35.9%). A total of 511 patients (71.0%) were prescribed a cholinesterase inhibitor after the initial consultation. A total of 236 care plans were advised with 169 (71.6%) realized and 157 of these (92.9%) considered adequate. Most patients were satisfied with the help received in the care plan (service satisfaction range, 80.0% to 98.6% of patients). Quality of life as rated by the patient significantly increased between baseline (average ACSA score: 5.2 +/- 2.4) and follow-up (5.8 +/- 2.1). The use of care plans appears to improve management of care for Alzheimer disease patients.

Pathological expansion of a G(4)C(2) repeat, located in the 5' regulatory region of C9orf72, is the most common genetic cause of frontotemporal lobar degeneration (FTLD) and amyotrophic lateral sclerosis (ALS). C9orf72 patients have highly variable onset ages suggesting the presence of modifying factors and/or anticipation. We studied 72 Belgian index patients with FTLD, FTLD-ALS or ALS and 61 relatives with a C9orf72 repeat expansion. We assessed the effect of G(4)C(2) expansion size on onset age, the role of anticipation and the effect of repeat size on methylation and C9orf72 promoter activity. G(4)C(2) expansion sizes varied in blood between 45 and over 2100 repeat units with short expansions (45-78 units) present in 5.6% of 72 index patients with an expansion. Short expansions co-segregated with disease in two families. The subject with a short expansion in blood but an indication of mosaicism in brain showed the same pathology as those with a long expansion. Further, we provided evidence for an association of G(4)C(2) expansion size with onset age (P

Hippocampus volumetry is a useful surrogate marker for the diagnosis of Alzheimer disease, but it seems insufficiently sensitive for the aMCI stage. We postulated that some hippocampus subfields are specifically atrophic in aMCI and that measuring hippocampus subfield volumes will improve sensitivity of MR imaging to detect aMCI.We evaluated episodic memory and hippocampus subfield volume in 15 patients with aMCI and 15 matched controls. After segmentation of the whole hippocampus from clinical MR imaging, we applied a new computational method allowing fully automated segmentation of the hippocampus subfields. This method used a Bayesian modeling approach to infer segmentations from the imaging data.In comparison with controls, subiculum and CA2-3 were significantly atrophic in patients with aMCI, whereas total hippocampus volume and other subfields were not. Total hippocampus volume in controls was age-related, whereas episodic memory was the main explanatory variable for both the total hippocampus volume and the subfields that were atrophic in patients with aMCI. Segmenting subfields increases sensitivity to diagnose aMCI from 40% to 73%.Measuring CA2-3 and subiculum volumes allows a better detection of aMCI.

We report here the case of a 56-year-old man with well-documented cardiac light chain amyloidosis successfully imaged with F-flutemetamol PET/CT in 2011. A matched pair healthy volunteer was imaged in the same conditions, and no specific heart uptake could be detected. The present report suggests the potential benefit of this new pharmaceutical in this indication, as it has been recently reported for C-Pittsburgh compound B, but with the main advantage to benefit from the more practical half-life of F. Further prospective trials would, however, be required to define the potential impact of F-flutemetamol PET/CT in cardiac amyloidosis.

A 64-year-old woman developed progressively a neck pain with bilateral shoulder pain, followed after several weeks by a symmetrical bilateral proximal upper extremities weakness (1/5 strength in the deltoids and biceps) with amyotrophy. She was unable to elevate her arms. Biceps and brachio-radialis reflexes were absent, tricipital and cubito-pronator reflexes were weak. Sensory examination was normal. There was no headache or visual impairment. Her temporal arteries were pulsatile, painless and not thickened on palpation. A careful history revealed constitutional symptoms including weight loss, fatigue and diaphoresis. Fever (38–39 C) was observed during hospitalization. Blood pressure was 130/90 mmHg on both arms. Laboratory studies showed a high C-reactive protein level (25 mg/dl; nl\ 1.0 mg/dl) and cholestasis (GGT 337 UI/L; nl\ 50 UI/L). Electromyogram showed fibrillation potentials and reduced recruitment in biceps and deltoid muscles bilaterally, consistent with brachial plexopathy. MRI of cervical spine and brachial plexuses was normal. CSF was normal. PET/CT revealed increased 2-deoxy-2-[18F]fluoro-Dglucose (FDG) uptake (Fig. 1) in ascending, descending

The most widely studied positron emission tomography ligand for in vivo beta-amyloid imaging is (11)C-Pittsburgh compound B ((11)C-PIB). Its availability, however, is limited by the need for an on-site cyclotron. Validation of the (18)F-labeled PIB derivative (18)F-flutemetamol could significantly enhance access to this novel technology.

Item does not contain fulltext IMPORTANCE: Cerebral amyloid-beta aggregation is an early pathological event in Alzheimer disease (AD), starting decades before dementia onset. Estimates of the prevalence of amyloid pathology in persons without dementia are needed to understand the development of AD and to design prevention studies. OBJECTIVE: To use individual participant data meta-analysis to estimate the prevalence of amyloid pathology as measured with biomarkers in participants with normal cognition, subjective cognitive impairment (SCI), or mild cognitive impairment (MCI). DATA SOURCES: Relevant biomarker studies identified by searching studies published before April 2015 using the MEDLINE and Web of Science databases and through personal communication with investigators. STUDY SELECTION: Studies were included if they provided individual participant data for participants without dementia and used an a priori defined cutoff for amyloid positivity. DATA EXTRACTION AND SYNTHESIS: Individual records were provided for 2914 participants with normal cognition, 697 with SCI, and 3972 with MCI aged 18 to 100 years from 55 studies. MAIN OUTCOMES AND MEASURES: Prevalence of amyloid pathology on positron emission tomography or in cerebrospinal fluid according to AD risk factors (age, apolipoprotein E [APOE] genotype, sex, and education) estimated by generalized estimating equations. RESULTS: The prevalence of amyloid pathology increased from age 50 to 90 years from 10% (95% CI, 8%-13%) to 44% (95% CI, 37%-51%) among participants with normal cognition; from 12% (95% CI, 8%-18%) to 43% (95% CI, 32%-55%) among patients with SCI; and from 27% (95% CI, 23%-32%) to 71% (95% CI, 66%-76%) among patients with MCI. APOE-epsilon4 carriers had 2 to 3 times higher prevalence estimates than noncarriers. The age at which 15% of the participants with normal cognition were amyloid positive was approximately 40 years for APOE epsilon4epsilon4 carriers, 50 years for epsilon2epsilon4 carriers, 55 years for epsilon3epsilon4 carriers, 65 years for epsilon3epsilon3 carriers, and 95 years for epsilon2epsilon3 carriers. Amyloid positivity was more common in highly educated participants but not associated with sex or biomarker modality. CONCLUSIONS AND RELEVANCE: Among persons without dementia, the prevalence of cerebral amyloid pathology as determined by positron emission tomography or cerebrospinal fluid findings was associated with age, APOE genotype, and presence of cognitive impairment. These findings suggest a 20- to 30-year interval between first development of amyloid positivity and onset of dementia.

Adequate nutrition plays an important role in the maintenance of cognitive function, particularly during aging. Malnutrition is amongst the risk factors for developing mild cognitive impairment (MCI) and Alzheimers disease (AD). Epidemiological studies have associated deficiencies in some nutrients with a higher risk of cognitive dysfunction and/or AD. Cognitive decline in AD is correlated with synaptic loss and many of the components required to maintain optimal synaptic function are derived from dietary sources. As synapses are part of the neuronal membrane and are continuously being remodelled, the availability of sufficient levels of nutritional precursors (mainly uridine monophosphate, choline and omega-3 fatty acids) to make the phospholipids required to build neuronal membranes may have beneficial effects on synaptic degeneration in AD. In addition, B-vitamins, phospholipids and other micronutrients act as cofactors to enhance the supply of precursors required to make neuronal membranes and synapses. Despite this, no randomized controlled trial has hitherto provided evidence that any single nutrient has a beneficial effect on cognition or lowers the risk for AD. However, a multi-target approach using combinations of (micro)nutrients might have beneficial effects on cognitive function in neurodegenerative brain disorders like AD leading to synaptic degeneration. Here we review the clinical evidence for supplementation, based on a multi-target approach with a focus on key nutrients with a proposed role in synaptic dysfunction. Based on preclinical evidence, a nutrient mixture, Souvenaid® (Nutricia N.V., Zoetermeer, The Netherlands) was developed. Clinical trials with Souvenaid® have shown improved memory performance in patients with mild AD. Further clinical trials to evaluate the effects of nutritional intervention in MCI and early dementia due to AD are on-going.

The regional cerebral blood flow (rCBF) and metabolic rate for glucose (rCMRGlc) are associated with functional activity of the neural cells. The present work reports a comparison study between rCBF and rCMRGlc in a normal population as a function of age. 10 young (25.9+/-5.6 years) and 10 old (65.4+/-6.1 years) volunteers were similarly studied at rest. In each subject, rCBF and rCMRGlc were measured in sequence, during the same session. Both rCBF and rCMRGlc values were found to decrease from young (mean rCBF=43.7 ml/100 g per min; mean rCMRGlc=40.6 micromol/100 g per min) to old age (mean rCBF=37.3 ml/100 g per min; mean rCMRGlc=35.2 micromol/100 g per min), resulting in a drop over 40 years of 14.8% (0.37%/year) and 13.3% (0.34%/year), respectively. On a regional basis, the frontal and the visual cortices were observed to have, respectively, the highest and the lowest reduction in rCBF, while, for rCMRGlc, these extremes were observed in striatum and cerebellum. Despite these differences, the ratio of rCBF to rCMRGlc was found to have a similar behavior in all brain regions for young and old subjects as shown by a correlation coefficient of 88%. This comparative study indicates a decline in rCBF and rCMRGlc values and a coupling between CBF and CMRGlc as a function of age.

Quantitative estimation of brain glucose metabolism (rCMRGlc) with positron emission tomography and fluorodeoxyglucose involves arterial blood sampling to estimate the delivery of radioactivity to the brain. Usually, for an intravenous injection of 30 s duration, an accurate input curve requires a frequency of one sample every 5 s or less to determine the peak activity in arterial plasma during the first 2 min after injection. In this work, 13 standardized sampling times were shown to be sufficient to accurately define the input curve. This standardized input curve was subsequently fitted by a polynomial function for its rising part and by spectral analysis for its decreasing part. Using the measured, the standardized, and the fitted input curves, rCMRGlc was estimated in 32 cerebral regions of interest in 20 normal volunteers. Comparison of rCMRGlc values obtained with the measured and the fitted input curves showed that both procedures gave consistent results, with a maximal relative error in mean rCMRGlc of 1% when using the autoradiographic method and 2% using kinetic analysis of dynamic data. This input-curve-fitting technique, which is not dependent on the peak time occurrence, allows an accurate determination of the input-curve shape from reduced sampling schemes.

Objectives. To document epileptiform discharges recorded within a mammillary body (MB) of a patient with chronic refractory epilepsy (CRE). Materials and Methods. A 37-year-old man, whose epilepsy was not controlled by medication or vagus nerve stimulation, was enrolled in a study of the effects of deep brain stimulation of the MB and mammillothalamic tract (MTT) in CRE. Surface and deep EEG recordings were obtained for 3 days before implantation of the macroelectrodes and for 4 days after implantation of the macroelectrodes but before implantation of the stimulator battery. Results. Paroxysmal epileptiform discharges were recorded in the right MB while other surface and deep recordings, in particular from the right MTT, were silent. When these discharges were longer than 100 sec, they spread to the right MTT area and then to the left MB and MTT area. Simultaneously, the patient became agitated and confused. Conclusions. This original observation indicates that subcortical neuronal structures, such as the MB, may sustain epileptiform discharges in humans.